Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from A machine learning-based predictive model of causality in orthopaedic medical malpractice cases in China. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine learning and its applications to biology
10.1371/journal.pcbi.0030116 · 2007 · External reference
APOGEE 2: multi-layer machine-learning model for the interpretable prediction of mitochondrial missense variants
10.1038/s41467-023-40797-7 · 2023 · External reference
Neural ADMIXTURE for rapid genomic clustering
10.1038/s43588-023-00482-7 · 2023 · External reference
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
10.1038/s41467-024-44740-2 · 2024 · External reference
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
10.1038/s41591-023-02396-3 · 2023 · External reference
Age group prediction with panoramic radiomorphometric parameters using machine learning algorithms.
10.1038/s41598-022-15691-9 · 2022 · External reference
Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives
10.1007/s00414-022-02928-5 · 2023 · External reference
Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy
10.1016/j.msksp.2018.11.012 · 2019 · External reference
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement.
10.1186/s12916-014-0241-z · 2015 · External reference
Machine Learning in Medicine.
10.1161/circulationaha.115.001593 · 2015 · External reference
Artificial intelligence for sex determination of skeletal remains: Application of a deep learning artificial neural network to human skulls
10.1016/j.jflm.2019.01.004 · 2019 · External reference
Forensic age estimation for pelvic X-ray images using deep learning.
10.1007/s00330-018-5791-6 · 2019 · External reference
LCANet: Learnable Connected Attention Network for Human Identification Using Dental Images
10.1109/tmi.2020.3041452 · 2021 · External reference
Artificial Intelligence in Evaluation of Permanent Impairment: New Operational Frontiers.
10.3390/healthcare11141979 · 2023 · External reference
International Classification of Functioning, Disability, and Health augmented by telemedicine and artificial intelligence for assessment of functional disability
10.4103/jfmpc.jfmpc_692_21 · 2021 · External reference
Retrospective analysis of medical malpractice claims in tertiary hospitals of China: the view from patient safety
10.1136/bmjopen-2019-034681 · 2020 · External reference
Court decisions on medical malpractice
10.1007/s00414-014-0976-2 · 2014 · External reference
Inequality in the last resort: how medical appraisal affects malpractice litigations in China
10.1007/s00414-020-02386-x · 2021 · External reference
Comparison of Medical Dispute Resolution Mechanisms in China and Abroad.
2022 · External reference
Medicolegal causal analysis.
10.1016/s1047-9651(01)00011-0 · 2002 · External reference
INFERENCE: An Evidence-Based Approach for Medicolegal Causal Analyses.
2020 · External reference
A review of causal inference in forensic medicine.
10.1007/s12024-020-00220-9 · 2020 · External reference
Expert Reliability in Legal Proceedings: "Eeny, Meeny, Miny, Moe, With Which Expert Should We Go?".
10.1016/j.scijus.2020.09.006 · 2021 · External reference
Comparation between Guidance for Judicial Expertise of Medical Malpractice and Medical Association Identification Rules of Medical Damage.
2022 · External reference
Malpractice lawsuits in orthopedic trauma surgery: a meta-analysis of the literature
10.1097/oi9.0000000000000199 · 2022 · External reference
The Application of Graph Theoretical Analysis to Complex Networks in Medical Malpractice in China: Qualitative Study.
10.2196/35709 · 2022 · External reference
Impact of System and Diagnostic Errors on Medical Litigation Outcomes: Machine Learning-Based Prediction Models.
2022 · External reference
[Claims management from the perspective of the lawyer: Top 7 errors in medical liability law].
2020 · External reference
Characteristics of the medical malpractice cases against orthopedists in China between 2016 and 2017.
10.1371/journal.pone.0248052 · 2021 · External reference
Claims, liabilities, injures and compensation payments of medical malpractice litigation cases in China from 1998 to 2011.
10.1186/1472-6963-14-390 · 2014 · External reference
Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches.
2020 · External reference
A guide to machine learning for biologists
10.1038/s41580-021-00407-0 · 2022 · External reference
ATR-FTIR combined with machine learning for the fast non-targeted screening of new psychoactive substances.
10.1016/j.forsciint.2023.111761 · 2023 · External reference
The black box problem revisited. Real and imaginary challenges for automated legal decision making
2023 · External reference
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence.
10.1007/s12559-023-10179-8 · 2024 · External reference
Security issues in implantable medical devices: Fact or fiction?
10.1016/j.scs.2020.102552 · 2021 · External reference
All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously.
2019 · External reference
Interpretable Machine Learning for Fall Prediction Among Older Adults in China.
10.1016/j.amepre.2023.04.006 · 2023 · External reference
Viszeralmedizinische Schadensfälle: Analyse von 2763 viszeralmedizinischen Schadensfällen der Schlichtungsstelle für Arzthaftpflichtfragen der Norddeutschen Ärztekammern.
10.1055/s-0034-1366320 · 2014 · External reference
Litigation analysis of medical damage after total knee arthroplasty: a case study based on Chinese legal database in the past ten years.
10.1186/s42836-022-00141-8 · 2022 · External reference
Analysis of Dental Case Reports in the Context of Court Decisions: Causal Nexus and Aspects of Fault
10.1111/1556-4029.14089 · 2019 · External reference
Cognitive bias in workplace investigation: Problems, perspectives and proposed solutions.
10.1016/j.apergo.2022.103860 · 2022 · External reference
How Cross-Examination on Subjectivity and Bias Affects Jurors’ Evaluations of Forensic Science Evidence
10.1111/1556-4029.14031 · 2019 · External reference
Malpractice and medical liability. European Guidelines on Methods of Ascertainment and Criteria of Evaluation
10.1007/s00414-013-0836-5 · 2013 · External reference
Use of Advanced Artificial Intelligence in Forensic Medicine, Forensic Anthropology and Clinical Anatomy.
2021 · External reference
How Do Legal Experts Cope With Medical Reports and Forensic Evidence? The Experiences, Perceptions, and Narratives of Swiss Judges and Other Legal Experts.
10.3389/fpsyt.2019.00018 · 2019 · External reference
Communicating forensic science opinion: An examination of expert reporting practices.
10.1016/j.scijus.2019.12.005 · 2020 · External reference
The dilemma and outlet of judicial determination of medical liability in China. Medicine
2023 · External reference
10.1007/978-3-031-41081-9_4
10.1007/978-3-031-41081-9_4 · 2023 · External reference
Artificial intelligence and digital medicine for integrated home care services in Italy: Opportunities and limits
10.3389/fpubh.2022.1095001 · 2022 · External reference
10.1057/s41599-020-0501-9 · 2020 · Admitted local publication
“Explaining” machine learning reveals policy challenges.
10.1126/science.aba9647 · 2020 · External reference
Study on Multi-Label Classification of Medical Dispute Documents.
10.32604/cmc.2020.010914 · 2020 · External reference
Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study.
10.1016/j.jflm.2017.07.001 · 2018 · External reference
